Neurology

Robot-assisted gait training versus treadmill training in patients with Parkinson's disease: a kinematic evaluation with gait profile score.

The purpose of this study was to quantitatively compare the effects, on walking performance, of end-effector robotic rehabilitation locomotor training versus intensive training with a treadmill in Parkinson's disease (PD). Fifty patients with PD were randomly divided into two groups: 25 were assigned to the robot-assisted therapy group (RG) and 25 to the intensive treadmill therapy group (IG). The...

Tailor-made rehabilitation approach using multiple types of hybrid assistive limb robots for acute stroke patients: A pilot study.

This article investigated the feasibility of a tailor-made neurorehabilitation approach using multiple types of hybrid assistive limb (HAL) robots for acute stroke patients. We investigated the clinical outcomes of patients who underwent rehabilitation using the HAL robots. The Brunnstrom stage, Barthel index (BI), and functional independence measure (FIM) were evaluated at baseline and when patie...

Frontiers for the Early Diagnosis of AD by Means of MRI Brain Imaging and Support Vector Machines.

The emergence of Alzheimer's Disease (AD) as a consequence of increasing aging population makes urgent the availability of methods for the early and a...

A Neuromonitoring Approach to Facial Nerve Preservation During Image-guided Robotic Cochlear Implantation.

HYPOTHESIS: A multielectrode probe in combination with an optimized stimulation protocol could provide sufficient sensitivity and specificity to act a...

Non-invasive brain stimulation and robot-assisted gait training after incomplete spinal cord injury: A randomized pilot study.

BACKGROUND: Locomotor training with a robot-assisted gait orthosis (LT-RGO) and transcranial direct current stimulation (tDCS) are interventions that ...

Fuzzy Computer-Aided Alzheimer's Disease Diagnosis Based on MRI Data.

Alzheimer's disease (AD) is a chronic neurodegenerative disease of the central nervous system that has no cure and leads to death. One of the most pre...

Alzheimer's Disease Brain Areas: The Machine Learning Support for Blind Localization.

The analysis of positron emission tomography (PET) scan image is challenging due to a high level of noise and a low resolution and also because differ...

Dementia and Robotics: People with Advancing Dementia and Their Carers Driving an Exploration into an Engineering Solution to Maintaining Safe Exercise Regimes.

The merging of the human world and the information technology world is advancing at a pace, even for those with dementia there are many useful smart '...

Classification of Movement of People with Parkinsons Disease Using Wearable Inertial Movement Units and Machine Learning.

In this work, inertial movement units were placed on people with Parkinsons disease (PwPD) who subsequently performed a standard test of walking endur...

A Risk Based Neural Network Approach for Predictive Modeling of Blood Glucose Dynamics.

For type 1 diabetes patients, maintaining the blood glucose (BG) at normal values is a challenging task due to e.g. variable insulin reactions, diets,...

Haptic Neurorehabilitation and Virtual Reality for Upper Limb Paralysis: A Review.

Motor and sensory loss or dysfunction affects the quality of life for thousands of individuals daily. The upper limb, and especially the hand, are imp...

Schwann Cell and Axon: An Interlaced Unit-From Action Potential to Phenotype Expression.

Here we propose a model of a peripheral axon with a great deal of autonomy from its cell body-the autonomous axon-but with a substantial dependence on...

[Evaluation of motor skills recovery in post-stroke patients in the process of complex rehabilitation with the use of robotic kinesiotherapy].

AIM: To compare the efficacy of complex rehabilitation in patients receiving robotic kinesiotherapy and conventional physical therapy.

Predictive model of synovial membrane degradation using semi-automated morphometry and artificial neural networks.

Gonarthrosis is a degenerative disease that affects mainly older people, but whose incidence has increased significantly in the last decade in populat...

Supervised learning technique for the automated identification of white matter hyperintensities in traumatic brain injury.

BACKGROUND: White matter hyperintensities (WMHs) are foci of abnormal signal intensity in white matter regions seen with magnetic resonance imaging (M...

A Computational Index to Describe Slacking During Robot Therapy.

Movement facilitation has a fundamental role in the rehabilitation treatment of stroke survivors. However, its action mechanisms are still poorly unde...

Tongue-controlled robotic rehabilitation: A feasibility study in people with stroke.

Stroke survivors with severe upper limb (UL) impairment face years of therapy to recover function. Robot-assisted therapy (RT) is increasingly used in...

Frequency of early remodeling of left ventricle and its comparison between patients with stroke volume ≥97 Ml versus patients with stroke volume <97 Ml after aortic valve replacement for severe aortic regurgitation.

OBJECTIVES: To evaluate the frequency of early remodeling in patients of severe aortic regurgitation after aortic valve replacement and to see the inc...

Effects of Candesartan Cilexetil Compared with Amlodipine on Serum Asymmetric Dimethylarginine Levels in the Chronic Stage of Cerebral Infarction: A Preliminary Study.

OBJECTIVE: Asymmetric dimethylarginine (ADMA) is an endogenous nitric oxide synthase inhibitor and a marker of vascular endothelial damage. Angiotensi...

Community-acquired bacteremia in adult patients. analysis of 645 episodes.

Bacteremia is an important cause of morbimortality. This study describes the episodes of communityacquired bacteremia in adult patients registered at ...